Senior Liability Data Analyst
Senior Liability Data Analyst

Senior Liability Data Analyst

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage and analyse pension scheme data to ensure accuracy and integrity.
  • Company: Join Legal & General, a leader in building a better society.
  • Benefits: Enjoy competitive bonuses, generous holidays, and a great healthcare plan.
  • Why this job: Make a real impact on customer outcomes while developing your analytical skills.
  • Qualifications: Experience with defined benefit pension schemes and strong Excel skills required.
  • Other info: Collaborative team environment with opportunities for career growth and wellbeing focus.

The predicted salary is between 36000 - 60000 £ per year.

Overview

At Legal & General, we’re building a better society by investing in the things that matter – homes, health, and a secure retirement. As a Senior Liability Data Analyst, you’ll play a key role in ensuring the integrity and accuracy of pension scheme data, helping us deliver outstanding outcomes for our customers. This is a great opportunity to join a collaborative team where your analytical expertise and pensions knowledge will make a real impact.

What you\’ll be doing

  • Managing operational data tasks including cleansing, validation, transformation and integration
  • Consulting with internal stakeholders to understand data requirements and deliver tailored solutions
  • Collaborating with partners to improve data quality across systems
  • Testing and documenting processes to ensure consistency and reliability
  • Creating and maintaining audit trails for all data activities
  • Communicating key updates to internal teams and third parties
  • Supporting the development of junior team members through training and guidance
  • Contributing to the delivery of Pension Risk Transfer transactions from end to end

Qualifications

  • Experience working with defined benefit pension schemes
  • Strong technical aptitude and advanced Excel skills
  • Familiarity with Python, SAS or SQL is beneficial
  • Ability to manage tight deadlines and prioritise effectively
  • Understanding of project management and testing frameworks
  • Knowledge of relevant legislation including GDPR and Treating Customers Fairly
  • A collaborative mindset and commitment to excellent customer outcomes
  • Degree in mathematics, statistics or equivalent experience

Benefits

  • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes
  • Generous pension contribution
  • Life assurance
  • Healthcare Plan (permanent employees only)
  • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
  • Competitive family leave
  • Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
  • There are the many discounts we offer – both for our own products and at a range of high street stores and online
  • In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart

Additional Information

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Senior Liability Data Analyst employer: Legal & General

At Legal & General, we pride ourselves on being an exceptional employer, offering a collaborative work culture where your contributions as a Senior Liability Data Analyst will directly impact the lives of our customers. With generous benefits including a competitive pension scheme, healthcare plan, and opportunities for professional growth, you will thrive in an environment that values your expertise and promotes employee wellbeing. Our modern office spaces are designed to foster connection and creativity, making it an ideal place to advance your career while contributing to a better society.
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Contact Detail:

Legal & General Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Liability Data Analyst

✨Tip Number 1

Network like a pro! Reach out to your connections in the pensions and data analysis field. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your experience with defined benefit pension schemes and data management. This will help you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Brush up on your technical skills, especially Excel, Python, or SQL. Being able to demonstrate your analytical prowess will give you an edge over other candidates.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be part of a team that values collaboration and customer outcomes just like you do.

We think you need these skills to ace Senior Liability Data Analyst

Analytical Expertise
Pensions Knowledge
Data Cleansing
Data Validation
Data Transformation
Data Integration
Stakeholder Consultation
Data Quality Improvement
Process Testing
Documentation Skills
Audit Trail Maintenance
Communication Skills
Mentoring and Training
Project Management
Technical Aptitude
Advanced Excel Skills
Familiarity with Python
Familiarity with SAS
Familiarity with SQL
Understanding of GDPR
Understanding of Treating Customers Fairly

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience with defined benefit pension schemes and any relevant technical skills like Excel, Python, or SQL. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your analytical expertise aligns with our mission at Legal & General. Don’t forget to mention your collaborative mindset and commitment to excellent customer outcomes.

Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your ability to manage data tasks and improve data quality. We love seeing quantifiable results, so if you’ve made a significant impact in previous positions, let us know!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Legal & General

✨Know Your Data Inside Out

As a Senior Liability Data Analyst, you'll be dealing with pension scheme data. Brush up on your knowledge of defined benefit schemes and be ready to discuss how you've managed data cleansing, validation, and transformation in the past. This will show your expertise and help you connect with the interviewers.

✨Show Off Your Technical Skills

Make sure to highlight your advanced Excel skills and any experience with Python, SAS, or SQL. Prepare examples of how you've used these tools to solve data-related problems. Being able to demonstrate your technical aptitude will set you apart from other candidates.

✨Communicate Clearly and Effectively

Since you'll be consulting with internal stakeholders, practice explaining complex data concepts in simple terms. Think about how you can convey key updates and findings clearly. Good communication is crucial for collaboration, so be prepared to showcase this skill during your interview.

✨Emphasise Your Collaborative Mindset

Legal & General values teamwork, so be ready to discuss how you've worked with others to improve data quality or deliver tailored solutions. Share specific examples of how you've supported junior team members or contributed to team projects. This will demonstrate your commitment to excellent customer outcomes and collaboration.

Senior Liability Data Analyst
Legal & General
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  • Senior Liability Data Analyst

    City of London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-10-27

  • L

    Legal & General

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